Python-OpenCV 图像处理（十九）：霍夫圆检测（发票印章去除）

最新推荐文章于 2025-06-14 14:43:18 发布

zx_good_night

最新推荐文章于 2025-06-14 14:43:18 发布

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分类专栏：图像处理 python

本文链接：https://blog.youkuaiyun.com/zx_good_night/article/details/88715206

import cv2
import numpy as np
from matplotlib import pyplot as plt

__author__ = "zxsuperstar"
__email__ = "zxsuperstar@163.com"

"""
霍夫圆检测
"""
def detect_circle_demo(image):
    # dst = cv2.cv2.GaussianBlur(image,(3,3),0)  #高斯滤波
    # cv2.imshow("dst",dst)

    #Mean Shift的优点就在于如果是像背景桌面的浅色纹理，
    # 图像分割的过程中相当于将这些小的浮动过滤掉，并且保留相对明显的纸张边缘
    # dst = cv2.bilateralFilter(src=image, d=0, sigmaColor=100, sigmaSpace=15)  #高斯双边滤波
    dst = cv2.pyrMeanShiftFiltering(image,10,100) #  均值偏移滤波
    cimage = cv2.cvtColor(dst,cv2.COLOR_BGRA2GRAY)
    # ret, cimage = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)
    # cimage = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY, 3, 5)
    # cimage = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 3, 5)
    cv2.imshow("cimage",cimage)
    circle = cv2.HoughCircles(cimage, cv2.HOUGH_GRADIENT,1,200,param1=50,param2=30,minRadius=0,maxRadius=0)